spicyramen

Some good things German people actually did. (The ones that opposed the Nazi party), and now the _common_ belief is that _all_ Germans were Nazis

Thanks this helps

Quality content: HBO > Disney+ > Amazon Prime > Netflix

What's your experience with Ray

Totally agree with you, today Cloud companies: GCP, AWS and Azure native ML solutions are not a E2E platform but different teams that work independently and as a whole release a ML solution, specifically I can talk about Vertex AI. Notebooks, Training, Prediction while they provide Enterprise features (Security, Network, IAM, Encryption) do not play well with users. (Expect ML users to be Cloud Engineers) and an ML E2E workflow is hard to achieve.

I would divide the main challenges for AI startups as follows: 1. Support Enterprise Features. (Security, IAM, VPC-SC, Ecripyion) 2. If providing Compute Resources do not make that your main source of income (i.e. DeepNote, Saturn Cloud) which that may not scale. 3. Data integration. (BigQuery, S3, GCS, etc)

Databricks is one of the ones that have integrated with each of the clouds and provide this E2E workflow nicely, in addition they have seen the nascent Analytics market and invest on it. My concern with some startups: Cohere.AI similar to OpenAI GPT3, is that some are only solving some part of the ML workflow: (Seldom, OctoML, etc.) they may get some customers now, but will be hard to scale, and probably best destiny is getting acquire by major players.

Sorry for the simple question, how do you plug it to your brain ?

I'm a big soccer fan, dislike button is the best metric to gauge a game summary

Anyone has the link how they come up with this number?

No, that's incorrect I live in Orange county by far one of the best places for bikes and pedestrians and again I can tell you I won't use public transportation.

You clearly have no kids

As a black person that have lived in Oakland i can tell you we need more bugdet and police and criminals behind bars

In my experience I have seen some candidates that work very hard and mainly do boiler plate code in their projects, they struggle in the Algos/data structures but at the end of the day they get the job done. Others perform very good in Algos/data structures but produce very little at work, and also people that do good and perform above expectations. Is hard for me to actually filter good candidates, and at the end of the day, I value output and some quality.

The West normally lacks understanding what hard work, innovation and intelligence is a universal value. During my years at Stanford I had the opportunity to learn about the North Korea nuclear program and how the West never imagine the advancement they produced with very limited resources and without Russian help. Couple of professors visited the nuclear facilities as part of the UN investigation and were shocked with the intelligence, and innovation of Korean engineers. The rest is history and we have now a North Korea with nuclear capabilities